Fraud Data Scientist Job at ALOIS Solutions, San Jose, CA

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  • ALOIS Solutions
  • San Jose, CA

Job Description

Hello Applicants - Hope you are doing great. Working on Fulltime role with my direct "Fortune Client" where they need someone with mini 3years to max 4years of experience working into Fraud environment as an SME responsible of creating Fraud related Reports, Trends, Presentation, prevention strategies etc.

With TWO conditions:

1) This is Onsite Role (Non-Negotiable on location) at San Jose, CA.

2) Its mandate to have mini 2years of experience within USA.

Roles and Responsibilities:

  • Utilize data analytics tools and methodologies to conduct in-depth assessments and generate Fraud rules and reports on fraud trends ( including Merchant Fraud, first-party and third-party fraud).
  • Investigate suspicious activities and transactions , determine root causes and develop strategies and statistical models to prevent future occurrences.
  • Develop Fraud rules on workflow systems.
  • Develop fraud reports for ongoing monitoring of fraud events.
  • Generate reports and presentations outlining fraud risks, incidents, and mitigation strategies for management review.
  • Collaborate with cross-functional teams, including risk management, operations, and compliance, to enhance fraud prevention measures.
  • Monitor industry trends , regulatory changes , and best practices to continually enhance fraud prevention strategies .

Skills Required:

  • Bachelor's degree in engineering, technology, computer science or related field.
  • 3+ years of proven data analytics experience in fraud prevention , risk management , or a related field.
  • Familiarity with fraud detection software , risk assessment methodologies , and regulatory compliance .

Job Tags

Full time,

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